Butterworth_low_pass_and_high_pass_filters

Neural network deternministic initialization

control simulation examples

使用matlab实现背景和前景分离，运动目标跟踪识别，一个很不错的程序(Using matlab to achieve separation of background and foreground, moving target tracking and recognition)

米散射相函数对比，包括散射相函数抽样，不同波长，不同折射率(The contrast of the phase function of the rice scattering, including the scattering phase function sampling, the different wavelengths and the different refractive index)

makae mr8fast filter in matlab

可以实现多智能体编队，即多个分散智能体聚集到一块且相互之间保持一定的距离向前运动(Can achieve multi-agent formations that gathered more than a dispersion agent, and maintain a certain distance from each other moving forward)

3双树复杂离散余弦谐波小波……JSIP20110300011_40382915(3A Dual Tree Complex Discrete Cosine Harmonic Wavelet ... JSIP20110300011_40382915)

说明：  matlab,线阵，面阵和圆阵的方向图程序(matlab, linear array, planar array and Circular Array Pattern procedures)

四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计(Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。-Four kinds of clustering algorithms source code and sample code, the ultimate goal of this program is to form a set of standards for clustering, scalable tools. Including the contents of a. Clustering algorithm: Kmeans and Kmedoid algorithms, FCMclust, GKclust, GGclust algorithm 2. Assessment classified prototypes: programs can be plotted in two-dimensional image, the results of clustering 3. Verify: Program to provide an algorithm to each authentication mechanism, each clustering algorithm will calculate Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several metrics.)

对盲源分离中独立成分分析法的实现，包括去均值，白化，和牛顿迭代法进行的ICA分析。(The implementation of independent component analysis in blind source separation includes ICA analysis of mean value, whitening and Newton iteration.)